TensorFlow tutorials and examples

In this section we are providing many tutorials and example of TensorFlow
machine learning framework. TensorFlow is powerful, opensource, numerical
computing framework developed by Google. This programming language is used to
design, develop and deploy neural network based large scale machine learning
systems. TensorFlow supports CPU, GUP and TPU for running computations across
the clusters.

This software was developed by Google Brain team under the name RankBrain, on
26 October 2015 it was released as Open Source framework (named TensorFlow).
Since then it is being used by developer to develop and run large scale machine
learning system. Currently its one of the top project on GitHub and its source
code can be accessed from this website. Its available for Windows, Linux and
Unix variants as pre-compiled binary. Developers can also download the source
code and compile it on their machine.

TensorFlow is developed in C++ which provides maximum portability over
different platform, as we just need to compile it for host platform. Google is
promising to provide light version for iOS and Android.

APIs for Python, c++, Haskell, Java and Go programming languages are
available to create programs for TensorFlow. Third party libraries like Julia, R
and Scala also provides support for TensorFlow.

Here we are giving you extensive tutorials of TensorFlow computational
programming language.
Tutorials and Examples of TensorFlow: